Hi [[ session.user.profile.firstName ]]

Time Series Segmentation

Large-scale forecasting problems require you to understand the structure of your time series data. Whether you’re a retailer trying to determine the right assortment of SKUs for your stores, part of a telco anticipating call center demand for labor capacity planning, or in any industry where you need to make forecasts over time – this webinar will be of interest.


Join us as we discuss an approach for successfully forecasting the wide range of time series patterns through time series segmentation. We will also show how the new SAS® Forecast Server client makes time series segmentation an integrated part of the forecasting process.


Watch and learn:

• The basics of time series segmentation and the value of its application to large-scale forecasting challenges.

• How to apply the right forecast modeling strategy to any time series pattern with the new SAS Forecast Server client.



Go ahead and watch now!
Recorded Oct 1 2015 16 mins
Your place is confirmed,
we'll send you email reminders
Presented by
Jessica Curtis, Forecasting Solutions Specialist at SAS
Presentation preview: Time Series Segmentation

Network with like-minded attendees

  • [[ session.user.profile.displayName ]]
    Add a photo
    • [[ session.user.profile.displayName ]]
    • [[ session.user.profile.jobTitle ]]
    • [[ session.user.profile.companyName ]]
    • [[ userProfileTemplateHelper.getLocation(session.user.profile) ]]
  • [[ card.displayName ]]
    • [[ card.displayName ]]
    • [[ card.jobTitle ]]
    • [[ card.companyName ]]
    • [[ userProfileTemplateHelper.getLocation(card) ]]
  • Channel
  • Channel profile
  • Machine Learning Patterns and Data Visualizations Aug 24 2017 5:00 pm UTC 60 mins
    Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs
    Data visualization must be intuitive in order for non-IT business leaders to see data patterns. Representing data in a graphical or pictorial format is easy, but constructing the data in the best and most logical way can be tricky.

    In this session, Umesh will talk about how to represent data simply to make quicker and better business decisions. He will walk through several data visualization techniques through business cases and examples. By the end of the session, you will not only know different data visualization techniques, but also have an understanding of circumstances under which each technique should be used and the best way to represent particular data sets for different business cases.
  • Ask the Data Expert: Live Q&A on All Things Machine Learning & AI Aug 23 2017 2:00 pm UTC 60 mins
    Wim Stoop, Cloudera
    Join this webinar where data expert Wim Stoop from Cloudera will answer all of your Machine Learning & AI questions live.

    Wim will also go over some frequently asked questions on Machine Learning and AI such as:

    -Is AI going to eclipse Hadoop?
    -What are some tips and tricks for mastering deep learning?
  • Security According to Leafcutter Ants Aug 22 2017 12:00 pm UTC 45 mins
    Mike Chung, Drs. Ing. RE CISSP, Associate Partner at IBM Security
    Humans have been protecting our complex network infrastructures for decades with varying degrees of success, while eusocial insects such as ants are capable of withstanding countless attacks on their networks.

    This presentation is about what ants in general and Leafcutter Ants in particular approach security and how we can learn from these survivors of millions years of warfare.

    You will learn:
    -How social insects (ants) are dealing with predictive analysis
    -Applying the defense mechanism of ants on threat intelligence
    -How information sharing and communication can lead to better security
    -Data and Identity Management
  • Unsupervised learning to uncover advanced cyber attacks Aug 22 2017 10:00 am UTC 45 mins
    Rafael San Miguel Carrasco, Senior Specialist, British Telecom EMEA
    This case study is framed in a multinational company with 300k+ employees, present in 100+ countries, that is adding one extra layer of security based on big data analytics capabilities, in order to provide net-new value to their ongoing SOC-related investments.

    Having billions of events being generated on a weekly basis, real-time monitoring must be complemented with deep analysis to hunt targeted and advanced attacks.

    By leveraging a cloud-based Spark cluster, ElasticSearch, R, Scala and PowerBI, a security analytics platform based on anomaly detection is being progressively implemented.

    Anomalies are spotted by applying well-known analytics techniques, from data transformation and mining to clustering, graph analysis, topic modeling, classification and dimensionality reduction.
  • Data Analytics in Financial Services: Identifying obstacles and key issues Jul 20 2017 2:00 pm UTC 60 mins
    Alex Kwiatkowski (Misys), Peter Jackson (Southern Water)
    In an increasingly digitalised world, the value of information grows ever higher. Winning organisations – whether in financial services or any other vertical sector – will be those who can harness the power of data analytics to develop microscopic levels of insight and foresight into customer behaviours and operational activities in order to make progressive improvements on a continuous basis. Product development informed by factual evidence rather than educated guesswork, or real-time risk management based on a hyper-accurate picture of exposures, bring significant internal and external benefits.

    However, while banks want to get closer to their customers, is the feeling mutual? Data privacy is a very sensitive issue, and the perception of what constitutes intrusion will likely vary between individuals. Institutions, therefore, need to walk a fine line between what’s genuinely useful and what’s genuinely creepy.

    During this webinar, a panel of respected subject matter experts will discuss and dissect the key issues related to the widespread use of data analytics in financial services, identifying the obstacles which need to be overcome and the enablers that will drive FS forward successfully.
  • Binomial and Multinomial Logistic Regressions in R Jun 29 2017 5:00 pm UTC 45 mins
    Ali Marami Chief Data Scientist
    Logistic regressions are the basic of machine learning. In this webinar, we discuss binomial and multinomial logistic regressions, how we implement them in R and test their performance. We will also review few examples of their usage in industry. In addition, you will learn how to use R-Brain advanced IDE when implementing the model.

    - Logistic regressions fundamentals and how to interpret estimates
    - Binomial and Multinomial logistic regressions
    - Implement logistic regressions in R
    - Performance measurement in logistic regressions
    - Generating and understanding AUC curve
    - Building confusion metrics and understanding its elements
    - Examples of model application in industry
    - Learn about new advanced IDE

    Presenter bio:

    Ali has a Ph.D. in Finance from the University of Neuchatel in Switzerland and a BS in Electrical Engineering. He has extensive experience in financial modeling, quantitative modeling, and financial risk management in several US banks.
  • OEM Case Studies: Best Practices on How to Embed Unstructured Data Analytics Jun 29 2017 3:00 pm UTC 60 mins
    David Meyer, CTO of SEC 1.01 & Russell Hammad, CEO of Zenith Technologies
    Thinking about unlocking intelligence from text, video or audio data in our applications? Join us to learn how innovative solution providers are doing it now. David Meyer, CTO of SEC 1.01, a Swiss-based leading IT solutions provider, and Russell Hammad, CEO of Zenith Technologies, a multinational solutions provider headquartered in Dubai, UAE, will share their experiences on how to accelerate compelling solutions to market with their OEM strategies. In this webinar, you will learn:

    · Why unstructured data analytics was needed
    · How OEM options were evaluated
    · Why HPE IDOL was chosen
    · How HPE IDOL is leveraged in the solution
  • Death to Traffic: How Smart Cities are Changing Transportation Recorded: Jun 23 2017 45 mins
    Laura Schewel, CEO, StreetLight Data
    From automated vehicles to ride hailing apps, transportation as we know it is changing - and fast. But new technologies alone won't help communities build the efficient, equitable, and sustainable transportation networks communities want. In fact, these innovative technologies could do just the opposite, especially if they are not deployed wisely. Cities must collect the right data and enact the right policies to ensure they do not exacerbate problems like inequity and traffic, and to hold themselves accountable to the promise of new mobility technologies.

    In this webinar, you will find out why - and how - the smartest cities of tomorrow will be those that adopt data-driven transportation strategies today. Join for Laura Schewel's presentation to gain insights into:

    • Why the status quo for transportation data collection is no longer good enough
    • The types of Massive Mobile Data that are useful for transportation and urban planning
    • Algorithmic processing techniques that are critical for making this data useful
    • Case studies from California and Virginia that demonstrate why Massive Mobile Data drives more effective transportation planning
    • A forward-looking blueprint for using Massive Mobile Data to maximize the potential benefits of new transportation technologies - and minimize negative impacts

    Laura Schewel founded StreetLight Data, a mobility analytics provider, after spending more than a decade as an advanced transportation researcher and statistician at the Rocky Mountain Institute and FERC. She has particular expertise in transportation systems, sustainability and safety, and vehicle/system modeling and analysis.
  • How IoT Will Make Healthcare Healthy, Wealthy, & Wise Recorded: Jun 23 2017 46 mins
    Jarie Bolander, COO, Lab Sensor Solutions
    IoT is a technology that has the potential to make us healthy, wealthy, and wise especially in healthcare. Healthcare is just now adopting IoT to improve patient outcomes and decrease the cost of care.

    In this webinar, you’ll learn:

    - How to identify if an IoT solution will work for your use case.
    - What others in healthcare are using IoT for.
    - The challenges of IoT in healthcare
  • Visualizing Smart Cities: How Data Visualization can help shape our communities Recorded: Jun 23 2017 46 mins
    Andy Kriebel, Head Coach at The Data School, Tableau Zen Master & Eva Murray, Tableau Evangelist at EXASOL, Tableau Trainer
    Whenever there is data, there is the chance to visualize it and gain valuable insights that can drive change and improvements. Governments have realized the potential that data holds for transforming our towns, cities, living spaces and communities to better address the needs of our modern society.

    Governments may want to change public transport services to suit commuters who move away from city centers due to increasing living costs, or develop programs that deliver more support services to areas showing high incidences of mental illnesses, or simply monitor bike traffic to assess the necessity of additional cycle lanes and bike share programs in our capitals. Data and data visualization can help us identify the needs of our communities and can support us in addressing them effectively.

    In this webinar Andy and Eva will present examples of Government using data to improve services for communities and will share how you can get involved through analyzing open data and becoming part of the wider 'dataviz' community.
  • IoT Business Modelling: Perspectives and Methodology Recorded: Jun 23 2017 46 mins
    Michael Kuegeler, Principal Solution Architect at Magic Software
    We will examine challenges regarding business model design in the emerging context of the Internet of Things (IoT).
    An unrefined IoT business model implies a significant risk in terms of investment and implementation.

    The key question is, "How can IoT application models be subjected to a reality check taking into account challenges pertaining technology, organization and target markets?"
  • How to get data moving: Impact of big data on transportation Recorded: Jun 23 2017 23 mins
    Arwen Smit, Head of Marketing, dovu
    Moving from A-B is slowly being revolutionised through data. Car-sharing and ride-hailing are just the beginning. Thousands of connected devices are currently monitoring data points, and although stand-alone analysis can be useful, true innovation occurs when these data sets are combined to transform into something new.

    In the near future, IoT data explosion and the API revolution will collide to change city planning, urban movement and the role of the car in the 21st century.

    First off, we set out to understand what big data means in the context of transportation, answering questions such as what is it, where is it coming from, and what can you do with it.
    - Next, we'll zoom out and apply these learning to transport innovation in a wider context, considering how it will influence concepts such as urban movement, social mobility, and quality of life.
    - Finally, we'll discuss the relationship between open data and innovation.
  • Interpreting IoT Data: Context is Everything Recorded: Jun 23 2017 46 mins
    Dr. Boris Adryan, Head of IoT & Data Analytics, Zühlke Engineering GmbH
    For decades “things” have been connected to the Internet. Embedded in carefully planned end-to-end solutions, the what and why of the data arising from these devices has often been hard-coded. In other words, in the M2M world, it is usually clear from the outset what is going to happen with the data. In a future IoT, this won’t necessarily be the case. In a world full of connected devices, the meaning and the potential of the device data is only going to become clear in the context where it is needed in.

    But how can software tell that your connected thermometer is useful for a medical application, or that a car in the drive way is likely an indicator of your partner’s presence? This is where device catalogues, information models and ontologies come in handy.

    While the talk is not specifically tailored towards a smart city focus, it should become clear how these technologies can be useful in such environment.
  • Panel: Smart Fog and Transaction Management for Cities and Maritime Recorded: Jun 22 2017 61 mins
    Moderator: Katalin Walcott (Intel) Panel: Jeff Fedders (OpenFog), Mark Dixon (IBM), Matthew Bailey (Powering IoT)
    Fog computing represents a tectonic shift for the future of transaction management, distributed supply chain and overall experience. It blurs the lines between the edge and the cloud and puts the focus on the systems which manage and balance the delivery of coherent, end-to-end sessions and associated transaction level agreements. As a result, this new technology is pervasive in several industries.

    Join this panel of experts as they discuss solutions with specific industry use cases from smart fog for Cities, Buildings, Ports, and Maritime.

    Moderator: Katalin Walcott, Work Group Chair Manageability at OpenFog Consortium & Principal Engineer - IoT/Fog Computing Orchestration Architecture at Intel

    Panelists:
    - Jeff Fedders, President at OpenFog Consortium & Chief Strategist, IoTG Strategy and Technology Office at Intel
    - Mark Dixon, Senior Architect for Smarter Cities at IBM
    - Matthew Bailey, President, Powering IoT - Smart City advisor and strategist to governments, technology corporations, and economic development agencies
  • Tableau in the Cloud: A Netflix Original Recorded: Jun 22 2017 65 mins
    Albert Wong - Reporting Platform Manager, Netflix
    See how Netflix built its analytics in the cloud with Tableau and Amazon Web Services

    Building out a data platform doesn't have to be like building a House of Cards, and our friends at Netflix know this better than anyone else. With 86 million members and counting, and more than 700 billion events per day, Netflix has had to expand their data capabilities by developing a scalable and flexible analytics platform built on Tableau and AWS.

    Attend this webinar to hear from Albert Wong, analytics expert at Netflix, to see how they simplified their data stack by building a data lake/data warehouse strategy which allows Netflix to collect and store massive amounts of data, supporting thousands of Tableau users with managed data.

    You'll learn about:

    How to set up effective analytics on top of enormous data sets
    How Netflix serves large groups of people with governed data
    The details of Netflix's data lake/data warehouse strategy
    How Netflix manages Hadoop with Tableau
  • Fog Computing in Mobile Network Recorded: Jun 22 2017 43 mins
    Adnyesh Dalpati, Director Solutions Architect at Alef Mobitech
    Fog computing has the potential to resolve the issues with network latency since the media rich content can be delivered through such nodes directly.

    Fog Computing inside the mobile network providers opens up a window of revenue opportunities for MNO's and creates a innovative space in content & application delivery platform.

    Join this webinar to learn how to tackle the different challenges with fog computing and its role in the IoT cycle.
  • Toward Internet of Everything: Architectures, Standards, & Interoperability Recorded: Jun 21 2017 63 mins
    Ram D. Sriram, Chief of the Software and Systems Division, IT Lab at National Institute of Standards and Technology
    In this talk, Ram will provide a unified framework for Internet of Things, Cyber-Physical Systems, and Smart Networked Systems and Societies, and then discuss the role of ontologies for interoperability.

    The Internet, which has spanned several networks in a wide variety of domains, is having a significant impact on every aspect of our lives. These networks are currently being extended to have significant sensing capabilities, with the evolution of the Internet of Things (IoT). With additional control, we are entering the era of Cyber-physical Systems (CPS). In the near future, the networks will go beyond physically linked computers to include multimodal-information from biological, cognitive, semantic, and social networks.

    This paradigm shift will involve symbiotic networks of people (social networks), smart devices, and smartphones or mobile personal computing and communication devices that will form smart net-centric systems and societies (SNSS) or Internet of Everything. These devices – and the network -- will be constantly sensing, monitoring, interpreting, and controlling the environment.

    A key technical challenge for realizing SNSS/IoE is that the network consists of things (both devices & humans) which are heterogeneous, yet need to be interoperable. In other words, devices and people need to interoperate in a seamless manner. This requires the development of standard terminologies (or ontologies) which capture the meaning and relations of objects and events. Creating and testing such terminologies will aid in effective recognition and reaction in a network-centric situation awareness environment.

    Before joining the Software and Systems Division (his current position), Ram was the leader of the Design and Process group in the Manufacturing Systems Integration Division, Manufacturing Engineering Lab, where he conducted research on standards for interoperability of computer-aided design systems.
  • Computational Behaviour Modelling for the Internet of Things Recorded: Jun 21 2017 49 mins
    Dr. Fahim Kawsar, Director of IoT Research at Nokia Bell Labs
    We are observing a monumental effort from the industry and academia to make everything connected. Naturally, to understand the needs of these connected things, we need a better understanding of humans and where, when, and how they interact. This behavioural understanding would help us to create digital services and capabilities that fundamentally change the way we experience our lives.

    In this talk, I will explore the system and algorithmic challenges in modelling human behaviour. I will discuss how mobile and wearable devices together with the wireless network can be used as a multi-sensory computational platform to learn and infer human behaviour and to design user-centred connected services across Enterprise, Urban City and Lifestyle.

    Dr Fahim Kawsar leads the Internet of Things research at Bell Labs and holds a Design United Professorship at TU Delft. His current research explores novel algorithms and system design techniques to build transformative multi-sensory systems for disruptive mobile, wearable and IoT services. He borrows tenets from Social Psychology, learns from Behavioural Economics and applies Computer Science methods to drive his research. He is a frequent keynote, panel and tutorial speaker, hold 15+ patents, organised and chaired numerous conferences, (co-)authored 100+ publications and had projects commissioned. He is a former Microsoft Research Fellow and has worked before at Nokia Research, and Lancaster University. His work and publications can be viewed at http://www.fahim-kawsar.net.
  • SAP Analytics - get control on BigData Recorded: Jun 21 2017 57 mins
    Iver van de Zand, Global SAP Analytics & Leonardo Hub Director
    BigData requires processing performance but even more it requires agility of your cloud analytics. Iver will demonstrate how today's SAP Analytics has leading capabilities when used in a highly complex and dynamic environment accessing extreme data volumes.
  • Big Data and real time analytics in the IoT: From measurement to knowledge Recorded: Jun 21 2017 46 mins
    Raquel López Alarcón, Sofia2 Platform Architect
    Do you want to get actual knowledge from your data, to understand it and to predict what will happen next? We will see what it takes from the device to the dashboard.

    In this webinar, we will discuss:
    - Use cases of IoT Analytics in different areas.
    - Architectural components & strategy required for a complete IoT solution.
    - Application Example.
Managing and analyzing data to inform business decisions
Data is the foundation of any organization and therefore, it is paramount that it is managed and maintained as a valuable resource.

Subscribe to this channel to learn best practices and emerging trends in a variety of topics including data governance, analysis, quality management, warehousing, business intelligence, ERP, CRM, big data and more.

Embed in website or blog

Successfully added emails: 0
Remove all
  • Title: Time Series Segmentation
  • Live at: Oct 1 2015 8:00 pm
  • Presented by: Jessica Curtis, Forecasting Solutions Specialist at SAS
  • From:
Your email has been sent.
or close